




"""simple docstring"""






import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


UpperCamelCase__    =      '''<<<<<<< This should probably be modified because it mentions: '''

UpperCamelCase__    =      '''=======
>>>>>>>
'''

UpperCamelCase__    =      [
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

UpperCamelCase__    =      [
    # (pattern, replacement)
    # Order is important here for some replacements
    (r'''tfds\.core''', r'''datasets'''),
    (r'''tf\.io\.gfile\.GFile''', r'''open'''),
    (r'''tf\.([\w\d]+)''', r'''datasets.Value(\'\1\')'''),
    (r'''tfds\.features\.Text\(\)''', r'''datasets.Value(\'string\')'''),
    (r'''tfds\.features\.Text\(''', r'''datasets.Value(\'string\'),'''),
    (r'''features\s*=\s*tfds.features.FeaturesDict\(''', r'''features=datasets.Features('''),
    (r'''tfds\.features\.FeaturesDict\(''', r'''dict('''),
    (r'''The TensorFlow Datasets Authors''', r'''The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'''),
    (r'''tfds\.''', r'''datasets.'''),
    (r'''dl_manager\.manual_dir''', r'''self.config.data_dir'''),
    (r'''self\.builder_config''', r'''self.config'''),
]





def 				UpperCAmelCase		(		snake_case      :       Namespace     ):
					return ConvertCommand(args.tfds_path   ,							args.datasets_directory     )





class 	a__      (							_A	):





						@staticmethod
						def    __UpperCamelCase  (				a__   :						Dict)    ->							Any:




											"""simple docstring"""







											_lowerCAmelCase:Union[str, Any]						=	parser.add_parser(
											    '''convert'''  ,help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'''  ,)
											train_parser.add_argument(
											    '''--tfds_path'''  ,type=a_  ,required=a_  ,help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'''  ,)
											train_parser.add_argument(
											    '''--datasets_directory'''  ,type=a_  ,required=a_  ,help='''Path to the HuggingFace Datasets folder.''')
											train_parser.set_defaults(func=a_)





						def __init__(				self   :						int  ,a__   :						List[str]  ,a__   :						Tuple  ,*a__   :						Union[str, Any])    ->							int:




											"""simple docstring"""







											_lowerCAmelCase:List[Any]						=	get_logger('''datasets-cli/converting''')

											_lowerCAmelCase:Optional[int]						=	tfds_path
											_lowerCAmelCase:List[Any]						=	datasets_directory







						def    __UpperCamelCase  (				self   :						List[Any])    ->							Union[str, Any]:




											"""simple docstring"""







											if os.path.isdir(self._tfds_path):
																_lowerCAmelCase:Optional[Any]						=	os.path.abspath(self._tfds_path)
											elif os.path.isfile(self._tfds_path):
																_lowerCAmelCase:Tuple						=	os.path.dirname(self._tfds_path)
											else:
																raise ValueError('''--tfds_path is neither a directory nor a file. Please check path.''')

											_lowerCAmelCase:Any						=	os.path.abspath(self._datasets_directory)

											self._logger.info(F'Converting datasets from {abs_tfds_path} to {abs_datasets_path}')

											_lowerCAmelCase:int						=	[]
											_lowerCAmelCase:Tuple						=	[]
											_lowerCAmelCase:Optional[int]						=	{}

											if os.path.isdir(self._tfds_path):
																_lowerCAmelCase:Dict						=	os.listdir(a_)
											else:
																_lowerCAmelCase:int						=	[os.path.basename(self._tfds_path)]

											for f_name in file_names:
																self._logger.info(F'Looking at file {f_name}')
																_lowerCAmelCase:str						=	os.path.join(a_  ,a_)
																_lowerCAmelCase:List[str]						=	os.path.join(a_  ,a_)

																if not os.path.isfile(a_) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
																					self._logger.info('''Skipping file''')
																					continue

																with open(a_  ,encoding='''utf-8''') as f:
																					_lowerCAmelCase:List[str]						=	f.readlines()

																_lowerCAmelCase:Tuple						=	[]
																_lowerCAmelCase:Optional[int]						=	False
																_lowerCAmelCase:Tuple						=	False
																_lowerCAmelCase:List[str]						=	[]
																for line in lines:
																					_lowerCAmelCase:Optional[Any]						=	line

																					# Convert imports
																					if "import tensorflow.compat.v2 as tf" in out_line:
																										continue
																					elif "@tfds.core" in out_line:
																										continue
																					elif "builder=self" in out_line:
																										continue
																					elif "import tensorflow_datasets.public_api as tfds" in out_line:
																										_lowerCAmelCase:Dict						=	"import datasets\n"
																					elif "import tensorflow" in out_line:
																										# order is important here
																										_lowerCAmelCase:int						=	""
																										continue
																					elif "from absl import logging" in out_line:
																										_lowerCAmelCase:Tuple						=	"from datasets import logging\n"
																					elif "getLogger" in out_line:
																										_lowerCAmelCase:Tuple						=	out_line.replace('''getLogger'''  ,'''get_logger''')
																					elif any(expression in out_line for expression in TO_HIGHLIGHT):
																										_lowerCAmelCase:List[Any]						=	True
																										_lowerCAmelCase:str						=	list(filter(lambda a__: e in out_line  ,a_))
																										out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(a_) + '''\n''')
																										out_lines.append(a_)
																										out_lines.append(a_)
																										continue
																					else:
																										for pattern, replacement in TO_CONVERT:
																															_lowerCAmelCase:Optional[Any]						=	re.sub(a_  ,a_  ,a_)

                # Take care of saving utilities (to later move them together with main script)
																					if "tensorflow_datasets" in out_line:
																										_lowerCAmelCase:int						=	re.match(R'''from\stensorflow_datasets.*import\s([^\.\r\n]+)'''  ,a_)
																										tfds_imports.extend(imp.strip() for imp in match.group(1).split(''','''))
																										_lowerCAmelCase:Optional[int]						=	"from . import " + match.group(1)

																					# Check we have not forget anything
																					if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
																										raise ValueError(F'Error converting {out_line.strip()}')

																					if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
																										_lowerCAmelCase:Optional[Any]						=	True
																					out_lines.append(a_)

																if is_builder or "wmt" in f_name:
																					# We create a new directory for each dataset
																					_lowerCAmelCase:Tuple						=	f_name.replace('''.py'''  ,'''''')
																					_lowerCAmelCase:Dict						=	os.path.join(a_  ,a_)
																					_lowerCAmelCase:Dict						=	os.path.join(a_  ,a_)
																					os.makedirs(a_  ,exist_ok=a_)
																					self._logger.info(F'Adding directory {output_dir}')
																					imports_to_builder_map.update({imp: output_dir for imp in tfds_imports})
																else:
																					# Utilities will be moved at the end
																					utils_files.append(a_)

																if needs_manual_update:
																					with_manual_update.append(a_)

																with open(a_  ,'''w'''  ,encoding='''utf-8''') as f:
																					f.writelines(a_)
																self._logger.info(F'Converted in {output_file}')

											for utils_file in utils_files:
																try:
																					_lowerCAmelCase:Optional[Any]						=	os.path.basename(a_)
																					_lowerCAmelCase:Union[str, Any]						=	imports_to_builder_map[f_name.replace('''.py'''  ,'''''')]
																					self._logger.info(F'Moving {dest_folder} to {utils_file}')
																					shutil.copy(a_  ,a_)
																except KeyError:
																					self._logger.error(F'Cannot find destination folder for {utils_file}. Please copy manually.')

											if with_manual_update:
																for file_path in with_manual_update:
																					self._logger.warning(
																					    F'You need to manually update file {file_path} to remove configurations using \'TextEncoderConfig\'.')













'''simple docstring'''






import random
from typing import Any






def   __A    (				a_    :	list						):
		for _ in range(len(a_						)						):
				lowerCAmelCase  :     List[Any]       						= random.randint(0   ,len(a_						) - 1						)
				lowerCAmelCase  :     Tuple       						= random.randint(0   ,len(a_						) - 1						)
				lowerCAmelCase						,		lowerCAmelCase  :     Optional[Any]       						= data[b], data[a]
		return data


if __name__ == "__main__":
					lowerCAmelCase									=   [0, 1, 2, 3, 4, 5, 6, 7]
					lowerCAmelCase									=   ["""python""", """says""", """hello""", """!"""]
					print("""Fisher-Yates Shuffle:""")
					print("""List""", integers, strings)
					print("""FY Shuffle""", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))



